doi: 10.7763/IJCTE.2011.V3.319
Implementation of Radial Basis Function for fMRI Registration
R. Rajeswari1
,
A. Anthony Irudhayaraj1,2
- 1Department of Computer Science, Mother Teresa Women's University, Kodaikanal, India
- 2Institute of Technology, Paiyanoor, India.
Abstract
This paper presents functional magnetic resonance imaging (fMRI) slice registration. Radial basis function (RBF) network is used for registering auditory cortex slices. Training the network is done with co-ordinates of the selective points (feature points) from two images at a time (source and target images). The input layer is given with coordinates of the selective points of the source image and in the output layer, the labeling is given as the coordinates of the selective points of the target image. Accuracy of registration depends on the amount of distortion present.
Keywords
- Radial basis function
- functional magnetic resonance imaging
- Heschl's gyrus
- auditory cortex
How to Cite
R. Rajeswari and A. Anthony Irudhayaraj, "Implementation of Radial Basis Function for fMRI Registration," International Journal of Computer Theory and Engineering, vol. 3, no. 2, pp. 287-291, 2011. https://doi.org/10.7763/IJCTE.2011.V3.319
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).